Remember when companies treated data warehouses like a blank check? AI is starting to look the same. Yesterday: “Dump everything into the warehouse. We'll optimize later.” Today: “Call the model. We'll optimize later.” The real risk isn't one massive AI project. It's thousands of small workflows quietly consuming tokens and compute across your organization. 🧠 Internal tools 🔌 Vendor integrations 👻 Shadow AI projects That's exactly why we built Backboard Studio. A central place to build, test, observe, and govern AI workflows before costs and complexity get away from you. If you feel AI usage is growing faster than your governance and cost controls, Studio is exactly the layer we built to catch up. #BuildWithBackboard today: docs.backboard.io/quickstart

Images Are Now Part of the Conversation. Today, we are launching Image Tool for Backboard threads. 🖼️ Multimodal Conversations: Text-to-image inside any agent interaction. 🔁 Iterative Edits: Perform image-to-image refinements within the same thread. ⚡ Native Streaming: Receive image URLs and document IDs via media_generated events on the same stream as your text. 📄 Simplified Infrastructure: No need to manage a separate media pipeline or external storage for generated assets. No separate API. No media pipeline. No asset storage layer to manage. Just enable image generation, choose a model, and let the thread handle the rest. If you're building agents that need to create, refine, or iterate on visual content, this unlocks an entirely new workflow. Check out the full documentation and #BuildWithBackboard backboard.io/changelog/intro…

Mythos 5 / Fable 5 available on backboard.io API and R-CLI

ANNOUNCEMENT!: Voice added to our core API. Speech to Text (STT) with OpenAI and ElevenLabs Text to Speech (TTS) with OpenAI and ElevenLabs BYOK available.

Thank you, honestly did not expect persistent memory to feel this natural to build with. Oracle came alive because of it.

So many great projects! Congrats Tim!

The backboard “everything api” has image and voice (stt/tts/real time). Backboard.io

Every major AI outage is a reminder that models are not the system. They're one dependency inside the system. The real challenge is everything around them. That's why we think architecture matters more than most people realize. If you're building AI systems, this is worth understanding: docs.backboard.io/concepts/a…

We’ll be at #AccelerateOTT 2026! Come find us if you’re building around AI memory, orchestration, and long-running systems. 🎟️ bit.ly/4eWHeH0

AI infrastructure is starting to look a lot like early DevOps. What began as simple API calls is quickly becoming a layer of routing, memory, monitoring, scaling, and cost control. AI systems are reaching a similar inflection point. The hard part is no longer just accessing intelligence. It’s operating it reliably at scale.

Most AI features don’t break because of prompts. They break because the system around them wasn’t designed to scale. Common pattern: ❌ treating the model as the system ❌ hardcoding a single provider ❌ designing for average latency ❌ patching routing logic ad hoc ❌ lacking observability into model behavior None of this shows up at small scale. It shows up when traffic grows, latency spikes, providers shift, and user expectations increase. Scaling AI isn’t really about better prompts. It’s about building better systems.

Which matters more in production AI: latency, cost, or quality? In practice, you’re always trading between the three. Curious how people are prioritizing this in real systems.

Big congrats to @alexandernorman and the @N49PVC team on the first close of Fund IV 🎉 The focus on backing overlooked technical infrastructure really stood out. Excited to see more attention move below the demo layer. Great read ↓ betakit.com/n49ps-25-million…

ok chat be honest, what’s been the most painful part of getting AI systems to actually survive production 🤔 #BuildWithBackboard

Latency variance between models is often >3x. Most teams design for average latency. Users experience worst-case latency. That gap is where UX breaks. If you’re building AI systems that need to hold up under real traffic, start #BuildingWithBackboard 👉 app.backboard.io/signup